Vibration-Based Biometric Authentication Using Anatomical Features
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Solution Overview
Problem
Image-based biometric authentication technologies are vulnerable to copying and theft, as they cannot easily change registered patterns, posing a high risk of unauthorized access.
Innovation Solution
A biometric authentication apparatus that uses frequency response characteristics of vibration signals passing through a user's body to extract anatomical feature information, including biomaterials, biomechanical, and geometrical structure features, for reliable user authentication, employing converters to transmit vibration signals, sensors to receive biometric signals, and an authentication module to process and compare these features with registered data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If image-based biometric authentication is used, then ease of operation is improved, but reliability deteriorates due to vulnerability to copying and theft
Solution Approach 1:
The patent replaces image-based optical biometric authentication with a mechanical vibration-based authentication system. The converter generates mechanical vibration signals that pass through the user's body, and the sensor detects the mechanical response. This substitution of the authentication mechanism from optical to mechanical domain fundamentally changes the biometric features being measured, making them resistant to copying while maintaining ease of use.
Solution Approach 2:
The patent changes the physical parameter being measured from static image data to dynamic vibration frequency characteristics. By measuring how different body tissues (bone, muscle, fat) respond to vibration frequencies, the system extracts anatomical feature information that is unique and difficult to replicate. This parameter change from spatial to frequency domain provides both security and reliability.
2Ease of operation
If image-based biometric authentication is used, then ease of operation is improved, but security deteriorates due to high risk of unauthorized access
Solution Approach 1:
The patent replaces image-based optical biometric authentication with a mechanical vibration-based authentication system. The converter generates mechanical vibration signals that pass through the user's body, and the sensor detects the mechanical response. This substitution of the authentication mechanism from optical to mechanical domain fundamentally changes the biometric features being measured, making them resistant to copying while maintaining ease of use.
Solution Approach 2:
The patent changes the physical parameter being measured from static image data to dynamic vibration frequency characteristics. By measuring how different body tissues (bone, muscle, fat) respond to vibration frequencies, the system extracts anatomical feature information that is unique and difficult to replicate. This parameter change from spatial to frequency domain provides both security and reliability.
3Reliability
If vibration signal-based biometric authentication is used, then reliability is improved, but device complexity increases due to additional converters and sensors
Solution Approach 1:
The patent integrates multiple functions into unified components. The converter not only generates vibration signals but also serves as part of the authentication execution mechanism. The sensor both detects vibration signals and converts them to electrical signals for processing. This multi-functionality reduces the number of separate components needed, thereby reducing overall device complexity while maintaining the reliable vibration-based authentication.
Solution Approach 2:
The patent merges the authentication module with the signal generation and detection components. The converter, sensor, and authentication processing are integrated into a unified system where the same hardware components serve multiple purposes in the authentication workflow. This merging reduces device complexity by eliminating redundant components while preserving the core vibration-based authentication functionality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a more reliable and secure biometric authentication method by utilizing unique anatomical features, reducing the risk of theft and copying, and offering higher accuracy compared to image-based or brainwave-based systems.
Implementation Method 1
one or more converters configured to convert a transmit signal of an electrical signal into a vibration signal of a mechanical signal and transmit the vibration signal vibrating within a set frequency range to a user
Implementation Method 2
one or more sensors configured to receive a biometric signal corresponding to the vibration signal from the user and convert the biometric signal into a receive signal of an electrical signal
Implementation Method 3
The biometric signal may be a frequency-based signal modified to include the anatomical feature information while the vibration signal passes through at least a portion of a body of the user
Implementation Method 4
a biometric authentication apparatus using a frequency response characteristic of a biometric signal
Data Source
AI summary
A biometric authentication apparatus is provided. The biometric authentication apparatus includes one or more converters that convert a transmit signal of an electrical signal into a vibration signal of a mechanical signal and transmit the vibration signal vibrating within a set frequency range to a user, one or more sensor that receive a biometric signal corresponding to the vibration signal from the user and convert the biometric signal into a receive signal of an electrical signal, an authentication module that extracts anatomical feature information of the user from the receive signal and determines whether the user is a registered user based on the anatomical feature information, and a memory that stores a database for the registered user. The biometric signal is a frequency-based signal modified to include the anatomical feature information while the vibration signal passes through at least a portion of the body of the user.